Are Feature Extractors Trained in the Tensorflow Object Detection API?

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Are Feature Extractors Trained in the Tensorflow Object Detection API?



In the Tensorflow Object Detection API, a typical neural network will have 2 components: A feature extractor and then a neural network which uses the output of the feature extract to further classify an image.



If you were to custom train a faster resnet50 neural network in the object detection api, to detect an extra 2 objects, during the training process is the feature extractor also trained? I.E. does the weights of the feature extractor component change?









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